We performed a comparison between Datadog and eG Enterprise based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Datadog offers valuable features like dashboards, reporting, error reporting, log centralization, user-friendliness for development teams, and flexibility with AI and ML capabilities. eG Enterprise excels in comprehensive monitoring modules, a user-friendly UI, and easy data collection with its algorithm. Datadog has room for improvement in several areas including user-friendliness, intuitive user interfaces, ease of learning, monitoring of external websites and SSL security, AI and ML concepts, and agent deployment. eG Enterprise could improve its licensing cost, implementation in Kubernetes, availability of cloud service options, and monitoring capabilities for containerized services or services deployed on OpenShift.
Service and Support: The opinions on customer service for Datadog vary, with some users appreciating the support team's efficiency and assistance, while others encountered delays or unresponsiveness. eG Enterprise is commended for its effective direct support approach and timely replies to customer inquiries.
Ease of Deployment: The setup process for Datadog is generally considered efficient and can be completed in a relatively short period of time, ranging from one hour to three days. Some users received assistance during the process, although a few found it complex. Integration with other platforms was smooth. eG Enterprise's setup is straightforward and relatively quick, taking two to three days for on-premise deployment and around two weeks for small or medium enterprise sites.
Pricing: Datadog's setup cost is subjective, with differing opinions on its affordability. It has a potentially confusing pricing model and expenses could escalate with specific functionalities. eG Enterprise presents a more economical subscription-based license, with reported pricing of around $100 per agent per month.
ROI: Users have reported different experiences with the ROI of Datadog, however, some have found it to be beneficial in terms of time savings and reducing blind spots. eG Enterprise has consistently received a perfect rating of five out of five for its positive ROI.
Comparison Results: Datadog is the preferred choice when compared to eG Enterprise. Users appreciate Datadog's simple setup process, seamless integration with other applications and platforms, and user-friendly interface. They also highlight the flexibility of Datadog in terms of additional features. Users find the dashboards, error reporting, log centralization, and troubleshooting capabilities of Datadog to be particularly valuable.
"We can manage the entire system across the network and troubleshoot the pain points."
"I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings."
"The solution has helped out organization gain improved visibility."
"Profiling has been made easier."
"Datadog's seamless integration with Slack and PagerDuty helped us to receive alerts right to the most common notification methods we use (our mobile devices and Slack)."
"Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate."
"It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"Datadog has flexibility."
"The auto-configuration or auto-Thresholding is very important because it saves a phenomenal amount of labor and setup costs and time."
"eG Enterprise has a single pane of glass for observability and monitoring."
"The product is simple to use."
"The GUI is nicer than all the other graphical interfaces out there."
"Some of the best features of eG are, in terms of APM, they have complete modules between application performance monitoring, server monitoring, and even storage and network-based monitoring. The UI is also quite good. They have some standard AI-based capabilities, even though it's not quite as advanced when compared to Dynatrace. eG has some good, basic APM capabilities."
"It gives good insight into inside of what's going on with Exchange."
"The topology view which provides a visual representation of a service and quickly allows identification of errors or degraded performance."
"The most important feature is the ability to design, then implement monitoring tests on the fly as we are adapting to different situations."
"The Wi-Fi side needs improvement."
"Lacks some flexibility in the customization."
"Datadog could have a better business analysis module."
"The real issue with this product is cost control."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect."
"I've found that the documentation is lacking in certain regards."
"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."
"In terms of areas for improvement in eG Enterprise, we are now moving most of our services to the OpenShift platform, and we need a way to monitor even containerized services or any service deployed on OpenShift, but that feature is still not available in eG Enterprise, so it's not good enough for us."
"The UI looks a little dated and could do with a refresh."
"The interface could be improved as it is not real intuitive. It is not user-friendly."
"In terms of sales or market perspective, they must invest in Latin America with professionals with a more marked presence."
"Dashboards are difficult to create, and not so useful."
"Application TCP latency is an area with room for improvement, but I believe this is already on the roadmap."
"Needs to improve the networking monitor capabilities."
"I can understand why they designed the user interface (UI) the way they did, but sometimes in the management of the eG Manager, it can be a bit clunky."
Datadog is ranked 1st in Application Performance Monitoring (APM) and Observability with 137 reviews while eG Enterprise is ranked 40th in Application Performance Monitoring (APM) and Observability with 21 reviews. Datadog is rated 8.6, while eG Enterprise is rated 8.2. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of eG Enterprise writes "Great visibility, easy to set up, and has very responsive technical support". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas eG Enterprise is most compared with Grafana, ControlUp, Zabbix, Dynatrace and AppDynamics. See our Datadog vs. eG Enterprise report.
See our list of best Application Performance Monitoring (APM) and Observability vendors, best Network Monitoring Software vendors, and best IT Infrastructure Monitoring vendors.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
